136 matches found
CVE-2023-53670 nvme-core: fix dev_pm_qos memleak
In the Linux kernel, the following vulnerability has been resolved: nvme-core: fix devpmqos memleak Call devpmqoshidelatencytolerance in the error unwind patch to avoid following kmemleak:- blktests master kmemleak-clear; ./check nvme/044; blktests master kmemleak-scan ; kmemleak-show nvme/044 Te...
CVE-2023-53670
The CVE-2023-53670 issue in Linux kernel nvme-core was resolved by a patch that fixes a dev_pm_qos memleak. The root cause was an unguarded latency-tolerance accounting leading to kmemleak reporting of an unreferenced object in nvme_init_ctrl during error unwind. The vulnerability has a CVSS v3.1...
EUVD-2017-2265
Malware in sbrugna...
EUVD-2023-45878
Malicious code in bioql PyPI...
EUVD-2025-6307
Malicious code in bioql PyPI...
EUVD-2025-0216
Malicious code in bioql PyPI...
How CISOs Can Drive Effective AI Governance
AI's growing role in enterprise environments has heightened the urgency for Chief Information Security Officers CISOs to drive effective AI governance. When it comes to any emerging technology, governance is hard – but effective governance is even harder. The first instinct for most organizations...
MAD-Spear: a Conformity-Driven Prompt Injection Attack on Multi-Agent Debate Systems
Multi-agent debate MAD systems leverage collaborative interactions among large language models LLMs agents to improve reasoning capabilities. While recent studies have focused on increasing the accuracy and scalability of MAD systems, their security vulnerabilities have received limited attention...
Bullshark on Narwhal: Implementation-Level Workflow Analysis of Round-Based DAG Consensus in Theory and Practice
Round-based DAGs enable high-performance Byzantine fault-tolerant consensus, yet their technical advantages remain underutilized due to their short history. While research on consensus protocols is active in both academia and industry, many studies overlook implementation-level algorithms, leavin...
README: Robust Error-Aware Digital Signature Framework Via Deep Watermarking Model
Deep learning-based watermarking has emerged as a promising solution for robust image authentication and protection. However, existing models are limited by low embedding capacity and vulnerability to bit-level errors, making them unsuitable for cryptographic applications such as digital...
Understanding the Error Sensitivity of Privacy-Aware Computing
Homomorphic Encryption HE enables secure computation on encrypted data without decryption, allowing a great opportunity for privacy-preserving computation. In particular, domains such as healthcare, finance, and government, where data privacy and security are of utmost importance, can benefit fro...
EarthOL: a Proof-Of-Human-Contribution Consensus Protocol -- Addressing Fundamental Challenges in Decentralized Value Assessment with Enhanced Verification and Security Mechanisms
This paper introduces EarthOL, a novel consensus protocol that attempts to replace computational waste in blockchain systems with verifiable human contributions within bounded domains. While recognizing the fundamental impossibility of universal value assessment, we propose a domain-restricted...
CVE-2023-41376
Nokia Service Router Operating System SR OS 22.10 and SR Linux, when error-handling update-fault-tolerance is not enabled, mishandle BGP path attributes...
SVAFD: a Secure and Verifiable Co-Aggregation Protocol for Federated Distillation
Secure Aggregation SA is an indispensable component of Federated Learning FL that concentrates on privacy preservation while allowing for robust aggregation. However, most SA designs rely heavily on the unrealistic assumption of homogeneous model architectures. Federated Distillation FD, which...
A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network
Large Language Models LLMs have achieved remarkable success across a wide range of applications. However, individual LLMs often produce inconsistent, biased, or hallucinated outputs due to limitations in their training corpora and model architectures. Recently, collaborative frameworks such as th...
Fast and Robust Speckle Pattern Authentication by Scale Invariant Feature Transform Algorithm in Physical Unclonable Functions
Nowadays, due to the growing phenomenon of forgery in many fields, the interest in developing new anti-counterfeiting device and cryptography keys, based on the Physical Unclonable Functions PUFs paradigm, is widely increased. PUFs are physical hardware with an intrinsic, irreproducible disorder...
smallrye-fault-tolerance: SmallRye Fault Tolerance
A flaw was found in Smallrye, where smallrye-fault-tolerance is vulnerable to an out-of-memory OOM issue. This vulnerability is externally triggered when calling the metrics URI. Every call creates a new object within meterMap and may lead to a denial of service DoS issue...
smallrye-fault-tolerance: SmallRye Fault Tolerance
A flaw was found in Smallrye, where smallrye-fault-tolerance is vulnerable to an out-of-memory OOM issue. This vulnerability is externally triggered when calling the metrics URI. Every call creates a new object within meterMap and may lead to a denial of service DoS issue...
Important: Red Hat Security Advisory: Red Hat Build of Apache Camel 4.8 for Quarkus 3.15 update is now available (RHBQ 3.15.4.GA)
An update for Red Hat Build of Apache Camel 4.8 for Quarkus 3.15 update is now available RHBQ 3.15.4.GA. The purpose of this text-only errata is to inform you about the enhancements that improve your developer experience and ensure the security and stability of your products. Red Hat Product...
smallrye-fault-tolerance: SmallRye Fault Tolerance
A flaw was found in Smallrye, where smallrye-fault-tolerance is vulnerable to an out-of-memory OOM issue. This vulnerability is externally triggered when calling the metrics URI. Every call creates a new object within meterMap and may lead to a denial of service DoS issue...